FY-3/VIRR及MERSI与EOS/MODIS植被指数比较与差异原因分析  

Comparison of the Vegetation Indexes between FY-3/VIRR,FY-3/MERSI and EOS/MODIS Data

作　　者：葛美香 赵军[1] 仲波[2] 杨爱霞[2] 

机构地区：[1]重庆邮电大学计算机科学与技术学院,重庆400065 [2]中国科学院遥感与数字地球研究所遥感科学国家重点实验室,北京100101

出　　处：《遥感技术与应用》2017年第2期262-273,共12页Remote Sensing Technology and Application

基　　金：国家863计划项目"星机地综合观测定量遥感融合处理与共性产品生产系统"(2013AA12A301);国防科工局高分观测专项课题"GF-4卫星图像辐射校正技术"(30-Y20A02-9003-15/16)

摘　　要：为了论证FY-3/VIRR、FY-3/MERSI及EOS/MODIS影像之间协同反演的可行性,这些数据生成植被指数间的比较来说明。选取2012年覆盖黑河上游附近的多对同日过境的晴空数据,利用统计方法对比分析了FY-3/VIRR、FY-3/MERSI与EOS/MODIS的归一化植被指数。结果表明:FY-3/VIRR和FY-3/MERSI的NDVI与EOS/MODIS存在显著的相关性,相关系数均超过0.99;但3种数据所生成的NDVI也存在显著的差异。对引起NDVI差异的原因进行了详细分析,发现光谱响应函数、大气水汽、辐射定标、观测角度等都会对植被指数产生一定的影响;这些分析可以为以后多源遥感数据协同反演提供参考。In order to demonstrate the feasibility of cooperative inversion of the vegetation indexes between FY-3/VIRR,FY-3/MERSI and EOS/MODIS,the NDVI from these data was compared.The authors selected 2012year＇s data of FY-3/VIRR,FY-3/MERSI and EOS/MODIS which is covering the upstream of the Heihe and less cloudiness.The statistical method was used to study correlation of NDVI from the selected data.The result shows that there are significant correlations of NDVI from the data of FY-3/VIRR,FY-3/MERSI and EOS/MODIS,and all the correlation coefficients exceeded 0.99.But significant differences are also exist between these data.The causes of NDVI differences were analyzed in detail,and found that spectral response function,atmospheric water vapor,radiometric calibration,viewing angle have a certain impact on vegetation index.These analyzes can provide a reference for cooperative inversion of multisource remote sensing data.

关 键 词：FY-3/VIRR FY-3/MERSI EOS/MODIS NDVI 对比分析 协同反演 差异原因分析 

分 类 号：Q948[生物学—植物学] TP79[自动化与计算机技术—检测技术与自动化装置]